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Deep Learning 2D Building Outlines 2024 (LGATE-483)
2D building outlines derived from imagery captured across Western Australia using a deep learning algorithm. The algorithm was created in-house within Landgate to demonstrate to... -
Woody Change 1991-1992 (LGATE-375)
Vegetation change products are produced annually identifying locations where the perennial woody vegetation from the vegetation cover datasets based on Landsat imagery (30m... -
Woody Change 2008-2009 (LGATE-385)
Vegetation change products are produced annually identifying locations where the perennial woody vegetation from the vegetation cover datasets based on Landsat imagery (30m...
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Vegetation Cover 1989 (LGATE-403)
State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The...
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Vegetation Cover 2015 (LGATE-421)
State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The...
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Vegetation Cover 2012 (LGATE-418)
State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The...
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Landsat Imagery 2019 (LGATE-452)
Dry season cloud free Landsat imagery (30m ground pixel) is combined annually to provide a whole of Western Australia imagery mosaic. These mosaics start in 1988 to current day...
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Woody Change 1992-1995 (LGATE-376)
Vegetation change products are produced annually identifying locations where the perennial woody vegetation from the vegetation cover datasets based on Landsat imagery (30m...
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Woody Change 2000-2002 (LGATE-379)
Vegetation change products are produced annually identifying locations where the perennial woody vegetation from the vegetation cover datasets based on Landsat imagery (30m...
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Landsat Imagery 2015 (LGATE-448)
Dry season cloud free Landsat imagery (30m ground pixel) is combined annually to provide a whole of Western Australia imagery mosaic. These mosaics start in 1988 to current day...
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Deep Learning Solar Panels 2023 (LGATE-481)
2D solar panel outlines derived from Perth metropolitan imagery January/February 2023 (north, central and south metro areas) using a deep learning algorithm. The algorithm was...
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Deep Learning Footpaths 2024 (LGATE-485)
Sealed Footpaths derived from imagery captured across Western Australia using a deep learning algorithm. The algorithm was created in-house within Landgate to demonstrate to...
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IOL - Caveats (LGATE-471)
Interest Over Land - Caveats Restricted to Government access only , this dataset contains information about Caveat notifications registered on the Certificate of Title. The...
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Deep Learning Swimming Pool Outlines 2024 (LGATE-484)
2D swimming pool outlines derived from Perth metropolitan imagery using a deep learning algorithm. This includes a classification for the type of pool as Below Ground, Above...
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IOL - Restrictive Covenants (LGATE-472)
Interest Over Land - Restrictive Covenants Restricted to Government access only, this dataset contains information about Restrictive Covenant notifications registered on the...
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Deep Learning Road Surfaces 2023 (LGATE-482)
Road Surfaces derived from imagery captured across Western Australia using a deep learning algorithm. The algorithm was created in-house within Landgate to demonstrate to...
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Deep Learning Road Surfaces 2024 (LGATE-486)
Road Surfaces derived from imagery captured across Western Australia using a deep learning algorithm. The algorithm was created in-house within Landgate to demonstrate to...
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Deep Learning Solar Panels 2024 (LGATE-487)
2D solar panel outlines derived from Perth metropolitan imagery January 2024 (north, central and south metro areas) using a deep learning algorithm. The algorithm was created...
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Deep Learning Impermeable Surfaces 2024 (LGATE-488)
Raster dataset containing the results from 4 separate binary deep learning models (Buildings, Roads, Footpaths & Impermeable Surfaces). The following classification is used:...
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